Abstract
Eight hundred sixty-three subjects with atrophic gastritis were recruited to participate in an ongoing chemoprevention trial in Nariño, Colombia. The participants were randomly assigned to intervention therapies, which included treatment to eradicate Helicobacter pylori infection followed by daily dietary supplementation with antioxidant micronutrients in a 2 × 2 × 2 factorial design. A series of biopsies of gastric mucosa were obtained according to a specified protocol from designated locations in the stomach for each participant at baseline (before intervention therapy) and at year three. A systematic sample of 160 participants was selected from each of the eight treatment combinations. DNA was isolated from each of these biopsies (n = 320), and the first exon of KRAS was amplified using PCR. Mutations in the KRAS gene were detected using denaturing gradient gel electrophoresis and confirmed by sequence analysis. Of all baseline biopsies, 14.4% (23 of 160) contained KRAS mutations. Among those participants with atrophic gastritis without metaplasia, 19.4% (6 of 25) contained KRAS mutations, indicating that mutation of this important gene is likely an early event in the etiology of gastric carcinoma. An important association was found between the presence of KRAS mutations in baseline biopsies and the progression of preneoplastic lesions. Only 14.6% (20 of 137) of participants without baseline KRAS mutations progressed from atrophic gastritis to intestinal metaplasia or from small intestinal metaplasia to colonic metaplasia; however, 39.1% (9 of 23) with baseline KRAS mutations progressed to a more advanced lesion after 3 years [univariate odds ratio (OR), 3.76 (P = 0.05); multivariate OR adjusted for treatment, 3.74 (P = 0.04)]. In addition, the specificity of the KRAS mutation predicted progression. For those participants with G→T transversions at position 1 of codon 12 (GGT→TGT), 19.4% (5 of 17) progressed (univariate OR, 2.4); however, 60.0% (3 of 5) of participants with G→A transitions at position 1 of codon 12 (GGT→AGT) progressed (univariate OR, 8.7; P = 0.004 using χ2 test).
Introduction
Gastric cancer is one of the most frequent cancers in the world (1). The 5-year survival rate in the United States is only 21% for all histological stages (2). According to the Lauren classification (3), there are two major types of gastric carcinomas: intestinal and diffuse. The most frequent gastric malignancy is the intestinal type, which is often preceded by sequential steps of precancerous changes (Fig. 1), including atrophic gastritis, intestinal metaplasia (type I, complete, or small intestinal metaplasia; and type III, incomplete, or colonic metaplasia), and dysplasia (reviewed in Ref. 4). These progressive stages, which usually proceed over decades, have been defined as a sequence of histopathological events that confer an increasing risk of malignant transformation. The conversion of normal epithelial cells to cancer cells requires the accumulation of multiple genetic abnormalities. Interestingly, the two types of gastric carcinoma have some common genetic components but differ in some important aberrations. Abnormal expression and amplification of the MET gene, inactivation of the p53 tumor suppressor gene, abnormal transcription of CD44, and loss of telomeres are common events in both types (5, 6, 7). Reduction or loss of cadherins and catenins and KSAM gene amplification are unique to the diffuse type of gastric cancer (8). KRAS mutations, ERBB2 gene amplification, LOH3 and mutations of the APC gene, LOH of BCL2 gene, and LOH of the DCC locus are preferentially associated with the intestinal type (8). However, because few studies have been done on preneoplastic lesions, the significance of genetic events in gastric carcinogenesis remains unclear.
Mutations of KRAS are detected in many types of human malignancies and are associated with the development and progression of human cancer (9). The KRAS gene encodes a Mr 21,000 membrane-associated protein (p21ras) with intrinsic GTPase activity involved in cellular signal transduction. Point mutations of KRAS at specific codons lead to activated oncoprotein (GTP-RAS) with reduced GTPase activity (9). KRAS codons 12, 13, and 61 are the most frequently detected mutation “hot spots” in human cancers. The frequency of mutated KRAS varies greatly among different tumor types. KRAS mutations are found in ≈10% of intestinal type gastric carcinomas but are rarely detected in the diffuse type (8). Very few studies have been done on premalignant gastric mucosa, and the significance of KRAS activation in the carcinogenesis of gastric cancer is not clear.
Helicobacter pylori infection has been recognized as a risk factor for gastric cancer (5, 10). The bacterium can colonize the gastric mucosa of the host for decades and is associated with both gastric ulcers and gastric cancer (10). It has been hypothesized that as a result of chronic infection with concomitant chronic inflammation, inducible nitric oxide synthase and the sustained production of reactive nitrogen species eventually lead to cancer (11). Activation of proto-oncogenes, inactivation of tumor suppressor genes, and loss of function of DNA repair genes are likely mechanisms for tumorigenic transformation. Eradication of H. pylori infection and dietary supplementation with vitamin antioxidants reduce inducible nitric oxide synthase induction and the formation of reactive oxygen and nitrogen species (11).
In this study, a systematic sample of 160 participants from a Colombian population with a high risk for developing gastric cancer participated in an ongoing clinical trial of a 23 factorial design, which tested the effect of anti-H. pylori therapy as well as dietary supplementation with ascorbic acid and/or β-carotene. Using DNA extracted from paraffin-embedded gastric biopsies obtained before and after intervention therapy, KRAS mutations were detected with PCR-DGGE. We determined whether the presence of baseline KRAS mutations in biopsies predicted the frequency of progression of premalignant lesions.
Materials and Methods
Study Population.
Eight hundred sixty-three individuals with chronic multifocal atrophic gastritis were recruited from the towns of Pasto and Tuquerres of Nariño in the southern Colombian Andes. In this region, the incidence of gastric cancer ranks as one of the highest in the world (150 per 100,000; Refs. 12, 13, 14, 15). The estimated H. pylori prevalence is 93% among asymptomatic adults (16). The volunteers were agricultural or blue-collar workers of Spanish-Indian (“mestizo”) extraction. The demographic characteristics of the volunteer population have been described previously (11). Endoscopic evaluations of individuals from the community who volunteered to participate in the study were performed in the Hospital Departmental (Pasto, Colombia) after obtaining informed consent approved by the local Human Subjects Committee and the Louisiana State University Medical Center Institutional Review Board. Infection with H. pylori was detected by the Steiner modification of the Warthin-Starry staining method (17) using baseline biopsies.
Study Design.
Volunteer individuals were randomized into treatment groups using a 23 factorial design as illustrated in Table 1. A systematic sample of 160 participants was selected from each of the eight treatment combinations for this study. The anti-Helicobacter treatment consisted of a 2-week course of amoxicillin (500 mg three times per day), metronidazole (400 mg three times per day), and bismuth subsalicylate (262 mg four times per day). Bismuth subsalicylate (262 mg once per day) was continued until 2 weeks before the second endoscopy. Ascorbic acid (1-g tablet, twice per day) and/or β-carotene (30-mg capsule, once per day) or matched placebos for these two drugs (provided by Hoffman-La Roche, Inc.) were given throughout the study. Compliance was assessed by quarterly pill counts as well as by measurement of serum antioxidant levels at the time of second endoscopy. Compliance was consistently >90% as measured by pill count. Biopsies from 160 individuals (20 from each group; Table 1) were used to detect KRAS mutations in a double-blinded study.
Biopsies.
Gastric biopsies were obtained through endoscope at the start of the trial (baseline) and then again after 3 years (follow-up). Two biopsies for this study were taken from the lesser curvature around the incisura angularis, where the most advanced lesions are usually found. Fresh biopsies were fixed immediately in 90% alcohol, dehydrated, and embedded in paraffin within 24 h. At embedding, tissues were carefully oriented. Five 4-μm sections of embedded biopsies were sliced for DNA isolation.
DNA Isolation and Amplification by PCR.
DNA was isolated from specimens using Puregene DNA isolation kits (Gentra Systems, Inc., Minneapolis, MN) as described previously (18). A 152-bp region of exon one of human KRAS was amplified using the following primers and conditions as described previously (18): 5′-ATG ACT GAA TAT AAA CTT GTG-3′ and 5′-CGC CCG CCG CGC CCC GCG CCC GGC CCG CCG CCC CCG CCC GCC TCT ATT GTT GGA TCA TAT TC-3′. The amplified products were separated by electrophoresis in 3% 3:1 (Nuseive:Seakem; FMC BioProducts, Rockland, ME) agarose gels containing 0.1 μg/ml ethidium bromide in Tris borate-EDTA buffer. Amplified bands were excised for sequencing as described below.
Mutation Screening by DGGE.
DGGE was used to screen for mutations in DNA. The apparatus used was the DGene System (Bio-Rad, Hercules, CA). The PCR products were electrophoresed at 60 V through a 10% polyacrylamide gel with a linear increasing gradient from 25 to 40% denaturant [100% (v/v) denaturant: 7 m urea (Bio-Rad), 40% formamide (Fisher Scientific, Pittsburgh, PA)] in 1 × Tris-acetate EDTA buffer, as described previously (18). After electrophoresis, the gel was stained with SYBR-GREEN I (Molecular Probes, Inc., Eugene, OR) and examined by UV light transillumination.
DNA Sequencing.
The PCR products were isolated from agarose using QIAquick Gel Extraction kit (Qiagen, Inc., Chatsworth, CA). The isolated DNA was sequenced using [ 33P]dideoxynucleotide triphosphates and THERMOSequenase (Amersham Life Sciences, Inc., Cleveland, OH).
Statistical Analysis.
Cross-tabulation of the KRAS mutation levels and clinicopathological parameters were evaluated using the Pearson χ2 test. ORs are reported as measures of association. Multivariate analysis was carried out to adjust for treatment status using logistic regression. All statistical analyses were accomplished using software from SPSS, Inc. (Chicago, IL).
Results
Detection of KRAS Mutations in Biopsies.
Specimens were obtained from 75 male and 85 female volunteers whose mean age was 54 years (Table 2). Biopsies from baseline and follow-up were examined for mutations in KRAS using DGGE (Fig. 2). Those samples that were positive for mutations were sequenced to confirm the presence of mutations and to determine the type of mutation. The overall frequency of KRAS mutations in the biopsies was 12.5% (40 of 320, 160 baseline biopsies and 160 follow-up biopsies; Table 3). The frequency of KRAS mutations in baseline biopsies was 14.4% (23 of 160). All mutations detected were in the first base of codon 12. The mutations detected were either G→T transversions or G→A transitions, which change the encoding wild-type glycine (GGT) to either cysteine (TGT) or serine (AGT), respectively. Among the 40 mutations detected in the 320 biopsies, 33 (82.5%) were GGT→TGT (Gly→Cys), 2 (5%) were GGT→AGT (Gly→Ser), and 5 (12.5%) were mixed GGT→A/TGT (Gly→Cys/Ser).
KRAS Mutation and Progression of Preneoplastic Lesions.
Baseline mutations of KRAS occurred more often in individuals who did not have metaplasia at baseline (19.4%) as compared with those with metaplasia (13.2%; Table 2). For those individuals who had mutations in KRAS at baseline, 39.1% progressed to a more advanced premalignant lesion as compared with 14.6% who did not have baseline KRAS mutations. Therefore, those with baseline KRAS mutations were 3.8 times more likely to progress from either atrophy to metaplasia or from complete metaplasia (type I) to incomplete metaplasia (type III; P = 0.05; Table 4). When the OR was adjusted for intervention therapy, the estimate was unchanged and statistically significant (OR, 3.74; P = 0.04; Table 4). The presence of baseline KRAS mutations was a significant predictor of progression. For those individuals who had KRAS mutations in follow-up biopsies but did not have them at baseline, there was a trend toward a risk of progression as compared with individuals who never contained KRAS mutations. However, the odds of progression were significantly increased for those who had mutations only at baseline (OR, 3.47; P = 0.02) or for those who had mutations at baseline and at follow-up (OR, 12.4; P = 0.04). As seen in Table 4, this trend toward a risk of progression was significant after univariate analysis (P = 0.014) and after multivariate analysis adjusting for treatment (P = 0.03). The overall goal of this study was to determine whether antibiotic treatment and/or micronutrient supplementation of volunteer subjects would effect the subsequent progression of premalignant lesions. There was no significant independent effect of H. pylori infection status or micronutrient treatment with KRAS mutation status.
KRAS Mutation Type and Progression.
We have demonstrated previously that specific KRAS mutations are prognostic indicators of survival in lung cancer (18). To determine whether specific mutations of KRAS predict progression of preneoplastic lesions to a more advanced stage, the specific mutations were associated with progression. As seen in Table 5, those individuals with G→A transitions (Gly→Ser) were more likely to progress from atrophy to intestinal metaplasia than those individuals who lacked this mutation (OR, 8.7; P = 0.004).
Discussion
Many studies have shown that the frequency of KRAS mutation is relatively low for gastric cancer (9%) as compared with pancreatic (90%) and colorectal (50%) cancers (19, 20, 21). However, the recent study by Gulbis et al. indicated that high levels of p21ras are present in preneoplastic gastric tissues as well as in tumors (22). We found a higher frequency of KRAS mutation in earlier stages of premalignant lesions (12.5%) as compared with that reported for tumor (9%; Ref. 8).
Interestingly, we also observed that KRAS mutations were more frequent in atrophic gastritis as compared with intestinal metaplasia. There are two possible explanations as to why early preneoplastic lesions appear to have a higher frequency of KRAS mutations as compared with later preneoplastic lesions or to tumors: (a) mutations of KRAS may be involved in the formation of early hyperplastic (preneoplastic) cells. Mutations of KRAS may impart a slight growth advantage to cells that contain the mutation, causing a field of cells in which subsequent mutations occur. In this model, mutations of KRAS are not necessary for neoplastic growth but do not harm the cells that contain the mutations; (b) the presence of mutant p21ras may impart a negative growth advantage on tumor cells but not on preneoplastic cells. Other studies have shown that KRAS mutations are associated with gastric tumor progression and a poor prognosis (23). Therefore, it seems most likely that mutations of KRAS impart a growth advantage to cells that contain the mutation. This is further supported by our data that KRAS mutations are associated with progression of preneoplastic lesions.
Our data also indicate that individuals with KRAS mutations in their baseline premalignant stomach biopsies were more than three times as likely to progress to a higher premalignant stage than those who lacked baseline mutations. Furthermore, those who lost their mutations or who never had mutations were less likely to progress as compared with those that gained mutations or did not lose their mutations. It is not surprising that those individuals that had mutations in KRAS at both baseline and follow-up were more than 12 times as likely to progress to higher preneoplastic stages than were individuals who lacked mutations at baseline and at follow-up. However, there are some interesting caveats to consider for those individuals who had a change in mutation status between baseline and follow-up. There are two possible scenarios for those individuals who were negative for KRAS mutations at baseline and subsequently developed detectable mutations at follow-up: (a) the stomach did not have mutations, and mutations developed in the stomach after the initial biopsies were taken; or (b) KRAS mutations were present in a small subset of the cells and were below the detection limit for DGGE. This is an interesting caveat because the presence of detectable KRAS mutations at baseline is such a strong predictor of future progression, thus making the stage at which KRAS mutations develop an important biomarker for progression. Although it is impossible for one to differentiate these two scenarios, both seem likely events within a large study population. Therefore, it can be unambiguously stated that the presence of detectable KRAS mutations at baseline is a strong predictor of future progression.
All of the mutations detected were observed in codon 12. In the literature, ≈90% of the KRAS mutations in pancreatic carcinomas were reported to be in codon 12 (24); this was true for ≈70% of colorectal cancers (25) and ≈90% of gastric cancers (8). The glycine at position 12 is crucial for the GTP-binding affinity of p21ras. A mutation at codon 12 alone is sufficient for oncogenic activation (9). In colorectal tumors, G→T transversions at codon 12 were associated with malignant transformation, and G→A transitions were associated with metastasis. In our study, 82.5% involved G→T transversions, 5% contained G→A transitions, and 12.5% contained both, indicating that these mutations may be important for the progression of gastric mucosal cells to a more advanced premalignant stage.
It seems likely from these data that the presence of KRAS mutations in early preneoplastic lesions will be a significant negative prognostic indicator for the development of stomach cancer. This information may be an important diagnostic tool for the physician managing patients with atrophic gastritis.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
This study was supported in part by Program Project Grant P01-CA28842 from the National Cancer Institute.
The abbreviations used are: LOH, loss of heterozygosity; DGGE, denaturing gradient gel electrophoresis; OR, odds ratio.
Antibacterial treatmenta . | . | No antibacterial treatment . | . | ||
---|---|---|---|---|---|
AA + BCb | AA + P | AA + BC | AA + P | ||
BC + P | P + P | BC + P | P + P |
Antibacterial treatmenta . | . | No antibacterial treatment . | . | ||
---|---|---|---|---|---|
AA + BCb | AA + P | AA + BC | AA + P | ||
BC + P | P + P | BC + P | P + P |
Triple therapy included amoxicillin, metronidazole, and bismuth subsalicylate.
AA, ascorbic acid; BC, β-carotene; P, placebo.
. | Baseline KRAS mutation . | . | Total . | |
---|---|---|---|---|
. | Absent . | Present . | . | |
Age groups | ||||
<60 | 110 (86.6%) | 17 (13.4%) | 127 | |
>60 | 26 (81.3%) | 6 (18.8%) | 32 | |
Total | 136 (85.5%) | 23 (14.5%) | 159 | |
Sex | ||||
Male | 66 (88.0%) | 9 (12.0%) | 75 | |
Female | 71 (83.5%) | 14 (16.5%) | 85 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 | |
Metaplasia at baseline | ||||
Absent | 25 (80.6%) | 6 (19.4%) | 31 | |
Present | 112 (86.8%) | 17 (13.2%) | 129 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 | |
Lymphocytes in stroma | ||||
Mild + moderate | 118 (86.7%) | 18 (13.3%) | 136 | |
Severe | 19 (79.2%) | 5 (20.8%) | 24 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 |
. | Baseline KRAS mutation . | . | Total . | |
---|---|---|---|---|
. | Absent . | Present . | . | |
Age groups | ||||
<60 | 110 (86.6%) | 17 (13.4%) | 127 | |
>60 | 26 (81.3%) | 6 (18.8%) | 32 | |
Total | 136 (85.5%) | 23 (14.5%) | 159 | |
Sex | ||||
Male | 66 (88.0%) | 9 (12.0%) | 75 | |
Female | 71 (83.5%) | 14 (16.5%) | 85 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 | |
Metaplasia at baseline | ||||
Absent | 25 (80.6%) | 6 (19.4%) | 31 | |
Present | 112 (86.8%) | 17 (13.2%) | 129 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 | |
Lymphocytes in stroma | ||||
Mild + moderate | 118 (86.7%) | 18 (13.3%) | 136 | |
Severe | 19 (79.2%) | 5 (20.8%) | 24 | |
Total | 137 (85.6%) | 23 (14.4%) | 160 |
ID . | Sex . | Age (baseline) . | Global histologya . | . | Mutation status . | . | Treatment assignmentb . | . | . | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | . | Baseline . | Follow-up . | Baseline . | Follow-up . | AB . | BC . | AA . | ||||
1 | F | 66 | IM-Mix | IM-COL | TGT GGC | TGT GGC | − | − | + | ||||
2 | F | 35 | IM-SI | IM-Mix | AGT GGC | TGT GGC | + | + | + | ||||
3 | F | 42 | IM-SI | IM-SI | A/TGT GGC | TGT GGC | + | + | + | ||||
4 | F | 51 | IM-SI | IM-Mix | TGT GGC | − | − | + | |||||
5 | M | 53 | MAG | MAG | TGT GGC | − | − | + | |||||
6 | F | 41 | MAG | MAG | TGT GGC | − | + | − | |||||
7 | F | 59 | IM-Mix | IM-COL | TGT GGC | − | + | − | |||||
8 | F | 62 | IM-Mix | IM-SI | TGT GGC | + | + | + | |||||
9 | F | 30 | MAG | MAG | TGT GGC | + | + | + | |||||
10 | F | 53 | IM-Mix | IM-Mix | TGT GGC | − | − | + | |||||
11 | F | 56 | IM-SI | IM-COL | TGT GGC | − | − | + | |||||
12 | F | 41 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
13 | M | 53 | MAG | MAG | TGT GGC | − | + | − | |||||
14 | M | 42 | MAG | MAG | TGT GGC | − | − | + | |||||
15 | M | 49 | IM-SI | MAG | TGT GGC | − | − | + | |||||
16 | M | 50 | MAG | MAG | TGT GGC | − | + | − | |||||
17 | M | 55 | IM-SI | IM-SI | A/TGT GGC | + | + | + | |||||
18 | F | 62 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
19 | M | 54 | IM-SI | IM-SI | TGT GGC | − | − | + | |||||
20 | F | 55 | MAG | MAG | TGT GGC | − | − | − | |||||
21 | F | 66 | MAG | MAG | TGT GGC | − | + | − | |||||
22 | F | 39 | MAG | MAG | TGT GGC | − | + | − | |||||
23 | F | 42 | MAG | MAG | TGT GGC | − | − | − | |||||
24 | F | 58 | IM-SI | MAG | TGT GGC | + | + | + | |||||
25 | F | 65 | IM-SI | MAG | TGT GGC | − | + | − | |||||
26 | F | 52 | IM-COL | IM-COL | TGT GGC | − | + | − | |||||
27 | M | 59 | IM-Mix | IM-COL | TGT GGC | − | − | + | |||||
28 | M | 55 | IM-SI | IM-Mix | TGT GGC | + | + | + | |||||
29 | F | 59 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
30 | M | 57 | IM-COL | IM-Mix | TGT GGC | − | − | − | |||||
31 | F | 46 | IM-Mix | IM-COL | TGT GGC | − | − | + | |||||
32 | M | 58 | IM-SI | IM-SI | TGT GGC | − | + | − | |||||
33 | F | 55 | IM-Mix | IM-COL | TGT GGC | − | + | − | |||||
34 | M | 67 | IM-Mix | IM-SI | AGT GGC | − | + | − | |||||
35 | M | 49 | IM-Mix | DYS | A/TGT GGC | + | + | + | |||||
36 | M | 58 | MAG | IM-Mix | A/TGT GGC | − | − | + | |||||
37 | M | 64 | IM-SI | IM-Mix | A/TGT GGC | − | − | − |
ID . | Sex . | Age (baseline) . | Global histologya . | . | Mutation status . | . | Treatment assignmentb . | . | . | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
. | . | . | Baseline . | Follow-up . | Baseline . | Follow-up . | AB . | BC . | AA . | ||||
1 | F | 66 | IM-Mix | IM-COL | TGT GGC | TGT GGC | − | − | + | ||||
2 | F | 35 | IM-SI | IM-Mix | AGT GGC | TGT GGC | + | + | + | ||||
3 | F | 42 | IM-SI | IM-SI | A/TGT GGC | TGT GGC | + | + | + | ||||
4 | F | 51 | IM-SI | IM-Mix | TGT GGC | − | − | + | |||||
5 | M | 53 | MAG | MAG | TGT GGC | − | − | + | |||||
6 | F | 41 | MAG | MAG | TGT GGC | − | + | − | |||||
7 | F | 59 | IM-Mix | IM-COL | TGT GGC | − | + | − | |||||
8 | F | 62 | IM-Mix | IM-SI | TGT GGC | + | + | + | |||||
9 | F | 30 | MAG | MAG | TGT GGC | + | + | + | |||||
10 | F | 53 | IM-Mix | IM-Mix | TGT GGC | − | − | + | |||||
11 | F | 56 | IM-SI | IM-COL | TGT GGC | − | − | + | |||||
12 | F | 41 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
13 | M | 53 | MAG | MAG | TGT GGC | − | + | − | |||||
14 | M | 42 | MAG | MAG | TGT GGC | − | − | + | |||||
15 | M | 49 | IM-SI | MAG | TGT GGC | − | − | + | |||||
16 | M | 50 | MAG | MAG | TGT GGC | − | + | − | |||||
17 | M | 55 | IM-SI | IM-SI | A/TGT GGC | + | + | + | |||||
18 | F | 62 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
19 | M | 54 | IM-SI | IM-SI | TGT GGC | − | − | + | |||||
20 | F | 55 | MAG | MAG | TGT GGC | − | − | − | |||||
21 | F | 66 | MAG | MAG | TGT GGC | − | + | − | |||||
22 | F | 39 | MAG | MAG | TGT GGC | − | + | − | |||||
23 | F | 42 | MAG | MAG | TGT GGC | − | − | − | |||||
24 | F | 58 | IM-SI | MAG | TGT GGC | + | + | + | |||||
25 | F | 65 | IM-SI | MAG | TGT GGC | − | + | − | |||||
26 | F | 52 | IM-COL | IM-COL | TGT GGC | − | + | − | |||||
27 | M | 59 | IM-Mix | IM-COL | TGT GGC | − | − | + | |||||
28 | M | 55 | IM-SI | IM-Mix | TGT GGC | + | + | + | |||||
29 | F | 59 | IM-Mix | IM-SI | TGT GGC | − | − | + | |||||
30 | M | 57 | IM-COL | IM-Mix | TGT GGC | − | − | − | |||||
31 | F | 46 | IM-Mix | IM-COL | TGT GGC | − | − | + | |||||
32 | M | 58 | IM-SI | IM-SI | TGT GGC | − | + | − | |||||
33 | F | 55 | IM-Mix | IM-COL | TGT GGC | − | + | − | |||||
34 | M | 67 | IM-Mix | IM-SI | AGT GGC | − | + | − | |||||
35 | M | 49 | IM-Mix | DYS | A/TGT GGC | + | + | + | |||||
36 | M | 58 | MAG | IM-Mix | A/TGT GGC | − | − | + | |||||
37 | M | 64 | IM-SI | IM-Mix | A/TGT GGC | − | − | − |
MAG, atrophic gastritis; IM-SI, small intestinal metaplasia; IM-Mix, metaplasia of mixed type; IM-COL, colonic metaplasia; DYS, dysplasia.
AB, antibiotic therapy; BC, β-carotene; AA, ascorbic acid.
Mutation . | Number that progresseda . | Univariate OR (P) . | Multivariate OR (P)b . |
---|---|---|---|
Baseline mutation | 3.76 (0.05) | 3.74 (0.04) | |
Absent | 14.6% (20/137) | ||
Present | 39.1% (9/23) | ||
Change of mutation status | (0.038, P for trend = 0.014) | (0.039, P for trend = 0.03) | |
(−) baseline, (−) follow-up | 13.8% (17/123) | 1.0 | 1.0 |
(−) baseline, (+) follow-up | 21.4% (3/14) | 1.7 (0.45) | 1.6 (0.45) |
(+) baseline, (−) follow-up | 35.0% (7/20) | 3.4 (0.02) | 3.3 (0.03) |
(+) baseline, (+) follow-up | 66.0% (2/3) | 12.4 (0.04) | 12.7 (0.04) |
Mutation . | Number that progresseda . | Univariate OR (P) . | Multivariate OR (P)b . |
---|---|---|---|
Baseline mutation | 3.76 (0.05) | 3.74 (0.04) | |
Absent | 14.6% (20/137) | ||
Present | 39.1% (9/23) | ||
Change of mutation status | (0.038, P for trend = 0.014) | (0.039, P for trend = 0.03) | |
(−) baseline, (−) follow-up | 13.8% (17/123) | 1.0 | 1.0 |
(−) baseline, (+) follow-up | 21.4% (3/14) | 1.7 (0.45) | 1.6 (0.45) |
(+) baseline, (−) follow-up | 35.0% (7/20) | 3.4 (0.02) | 3.3 (0.03) |
(+) baseline, (+) follow-up | 66.0% (2/3) | 12.4 (0.04) | 12.7 (0.04) |
Progression includes the following situations: atrophy→intestinal metaplasia (IM); within IM: small intestinal metaplasia (SIM)→colonic intestinal metaplasia (CIM).
Adjusted for treatment.
Mutation type . | No change or regression . | Progressiona . | Univariate OR (P = 0.004)b . |
---|---|---|---|
None | 85.3% (116/136) | 14.7% (20/136) | 1.0 |
TGT | 70.6% (12/17) | 19.4% (5/17) | 2.4 |
AGT and A/TGT | 40.0% (2/5) | 60.0% (3/5) | 8.7 |
Total | 82.3% (130/158) | 17.7% (28/158) |
Mutation type . | No change or regression . | Progressiona . | Univariate OR (P = 0.004)b . |
---|---|---|---|
None | 85.3% (116/136) | 14.7% (20/136) | 1.0 |
TGT | 70.6% (12/17) | 19.4% (5/17) | 2.4 |
AGT and A/TGT | 40.0% (2/5) | 60.0% (3/5) | 8.7 |
Total | 82.3% (130/158) | 17.7% (28/158) |
Progression from atrophy to intestinal metaplasia.
Using χ2 test.
Acknowledgments
We thank A. Tod Gillespie for excellent technical assistance.